annotate scripts/statistics/base/skewness.m @ 10669:cab3b148d4e4

Improve validation of input arguments for base statistics functions.
author Rik <octave@nomad.inbox5.com>
date Thu, 27 May 2010 20:12:51 -0700
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children 693e22af08ae
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1 ## Copyright (C) 1996, 1997, 1998, 1999, 2000, 2002, 2004, 2005, 2006,
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John W. Eaton <jwe@octave.org>
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2 ## 2007, 2008, 2009 John W. Eaton
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3 ##
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4 ## This file is part of Octave.
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5 ##
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6 ## Octave is free software; you can redistribute it and/or modify it
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7 ## under the terms of the GNU General Public License as published by
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8 ## the Free Software Foundation; either version 3 of the License, or (at
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9 ## your option) any later version.
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10 ##
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11 ## Octave is distributed in the hope that it will be useful, but
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12 ## WITHOUT ANY WARRANTY; without even the implied warranty of
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13 ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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14 ## General Public License for more details.
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15 ##
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16 ## You should have received a copy of the GNU General Public License
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17 ## along with Octave; see the file COPYING. If not, see
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18 ## <http://www.gnu.org/licenses/>.
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19
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20 ## -*- texinfo -*-
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21 ## @deftypefn {Function File} {} skewness (@var{x}, @var{dim})
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22 ## If @var{x} is a vector of length @math{n}, return the skewness
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23 ## @tex
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24 ## $$
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25 ## {\rm skewness} (x) = {1\over N \sigma(x)^3} \sum_{i=1}^N (x_i-\bar{x})^3
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26 ## $$
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27 ## where $\bar{x}$ is the mean value of $x$.
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28 ## @end tex
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29 ## @ifnottex
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30 ##
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31 ## @example
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32 ## skewness (x) = N^(-1) std(x)^(-3) sum ((x - mean(x)).^3)
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33 ## @end example
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34 ## @end ifnottex
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35 ##
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36 ## @noindent
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37 ## of @var{x}. If @var{x} is a matrix, return the skewness along the
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38 ## first non-singleton dimension of the matrix. If the optional
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39 ## @var{dim} argument is given, operate along this dimension.
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40 ## @end deftypefn
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41
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42 ## Author: KH <Kurt.Hornik@wu-wien.ac.at>
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43 ## Created: 29 July 1994
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44 ## Adapted-By: jwe
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45
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46 function retval = skewness (x, dim)
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47
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48 if (nargin != 1 && nargin != 2)
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49 print_usage ();
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50 endif
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51
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52 if (!ismatrix(x) || ischar(x))
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53 error ("skewness: X must be a numeric matrix or vector");
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54 endif
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55
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56 nd = ndims (x);
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57 sz = size (x);
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58 if (nargin != 2)
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59 ## Find the first non-singleton dimension.
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60 dim = find (sz > 1, 1);
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61 if (isempty (dim))
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62 dim = 1;
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63 endif
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64 else
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65 if (!(isscalar (dim) && dim == round (dim)) ||
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66 !(1 <= dim && dim <= nd))
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67 error ("skewness: DIM must be an integer and a valid dimension");
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68 endif
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69 endif
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70
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71 c = sz(dim);
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72 idx = ones (1, nd);
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73 idx (dim) = c;
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74 x = x - repmat (mean (x, dim), idx);
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75 sz(dim) = 1;
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76 retval = zeros (sz);
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77 s = std (x, [], dim);
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78 ind = find (s > 0);
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79 x = sum (x .^ 3, dim);
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80 retval(ind) = x(ind) ./ (c * s(ind) .^ 3);
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81
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82 endfunction
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83
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84 %!error skewness ();
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85
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86 %!error skewness (1, 2, 3);
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87